Canadian university students are helping a major space agency to compile landslide data from a popular social media website.
A group of Canadian students are using a popular social media site to help gather information for a major space agency.
The computers improve predictions of when and where landslides occur by processing news articles on the natural disasters and feeding the information to the public database, the Cooperative Open Online Repository .Jaidi and the team are completing their master's degrees in data science at UBC. Before the invention, people had to manually submit landslide information by searching through news articles. Now the tool automates the process, completing the search and submission in minutes.
The team trained the computer to then process the natural language of landslide data so it can reconize relevant information.in a post. “The model would predict the answer based on the language involved, for example, ‘The landslide most likely happened here, according to this sentence,’ and we would let it know if it was correct or not.”
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